Intelligent Support for Computer Science Education: Pedagogy Enhanced by Artificial Intelligence

The effectiveness of human tutoring in improving introductory Computer Science education at the undergraduate level is explored in the book Intelligent Support for Computer Science Education. It provides a comprehensive overview of the Computer Science education landscape, analyzes one-on-one human tutoring dialogues, and presents a scalable, plug-in based Intelligent Tutoring System architecture. The system is evaluated in ecologically valid settings and a time-series analysis of student behavior is conducted. The book is of interest to the Computer Science education community, instructors, and the Educational Technology community.

\n Format: Hardback
\n Length: 284 pages
\n Publication date: 23 September 2021
\n Publisher: Taylor & Francis Ltd
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Intelligent Support for Computer Science Education is a groundbreaking exploration into the effectiveness of human tutoring in enhancing introductory Computer Science education at the undergraduate level. In today's rapidly evolving society, where information technology has permeated every aspect of our lives, the importance of Computer Science education has become increasingly significant. This surge in interest, particularly at the college level, has led to a pressing need for innovative educational technologies to facilitate the understanding of complex concepts such as data structures and recursion.

Key Features:

Comprehensive and In-Depth Overview: This book provides a comprehensive and succinct overview of the Computer Science education landscape across all levels of education. It delves into the current challenges and opportunities in teaching introductory Computer Science, highlighting the importance of effective pedagogical strategies and technology-enhanced learning.

In-Depth Analysis of One-on-One Human Tutoring Dialogues: The book delves into the intricacies of one-on-one human tutoring dialogues in introductory Computer Science at the college level. It examines the dynamics between tutors and students, analyzing the types of questions asked, the responses provided, and the overall learning outcomes.

Scalable, Plug-in Based Intelligent Tutoring System Architecture: The authors present a scalable, plug-in-based Intelligent Tutoring System architecture that is portable to different topics and pedagogical strategies. The system incorporates advanced natural language processing techniques, machine learning algorithms, and user behavior analysis to enhance the tutoring experience and improve student learning.

Systematic, Controlled Evaluation in Ecologically Valid Settings: The book conducts a rigorous evaluation of different versions of the Intelligent Tutoring System in ecologically valid settings. It involves 18 actual classes and their laboratory sessions, providing a comprehensive analysis of the system's effectiveness in improving student performance.

Time-Series Analysis of Student Behavior: The book employs a time-series analysis to examine student behavior when interacting with the Intelligent Tutoring System. It sheds light on the patterns of student engagement, learning styles, and areas of improvement, offering valuable insights for instructors and developers.

Special Interest to the Computer Science Education Community: This book is of particular interest to the Computer Science education community, including instructors of introductory courses at the college level and Advanced Placement (AP) courses at the high school level. It provides valuable insights and strategies for enhancing the teaching and learning of Computer Science, leveraging the power of human tutoring and technology-enhanced learning.

Relevance to the Educational Technology Community: The authors' work is also relevant to the broader Educational Technology community, particularly those working in Intelligent Tutoring Systems, their interfaces, and Educational Data Mining. The book offers valuable insights into the development of effective tutoring systems and the application of data-driven approaches to enhance student learning.

In conclusion, Intelligent Support for Computer Science Education is a groundbreaking work that contributes significantly to the field of Computer Science education. By exploring the effectiveness of human tutoring and developing a scalable, plug-in-based Intelligent Tutoring System architecture, the authors have paved the way for improving introductory Computer Science education at the undergraduate level. This book will be of immense value to the Computer Science education community, instructors, and developers, as well as to the broader Educational Technology community.

\n Weight: 726g\n
Dimension: 234 x 156 (mm)\n
ISBN-13: 9781138052017\n \n